• We are sorry, but NCBI web applications do not support your browser and may not function properly. More information
Logo of bmcpsBioMed Centralsearchsubmit a manuscriptregisterthis articleBMC Plant Biology
BMC Plant Biol. 2010; 10: 161.
Published online Aug 6, 2010. doi:  10.1186/1471-2229-10-161
PMCID: PMC3017783

RoBuST: an integrated genomics resource for the root and bulb crop families Apiaceae and Alliaceae

Abstract

Background

Root and bulb vegetables (RBV) include carrots, celeriac (root celery), parsnips (Apiaceae), onions, garlic, and leek (Alliaceae)—food crops grown globally and consumed worldwide. Few data analysis platforms are currently available where data collection, annotation and integration initiatives are focused on RBV plant groups. Scientists working on RBV include breeders, geneticists, taxonomists, plant pathologists, and plant physiologists who use genomic data for a wide range of activities including the development of molecular genetic maps, delineation of taxonomic relationships, and investigation of molecular aspects of gene expression in biochemical pathways and disease responses. With genomic data coming from such diverse areas of plant science, availability of a community resource focused on these RBV data types would be of great interest to this scientific community.

Description

The RoBuST database has been developed to initiate a platform for collecting and organizing genomic information useful for RBV researchers. The current release of RoBuST contains genomics data for 294 Alliaceae and 816 Apiaceae plant species and has the following features: (1) comprehensive sequence annotations of 3663 genes 5959 RNAs, 22,723 ESTs and 11,438 regulatory sequence elements from Apiaceae and Alliaceae plant families; (2) graphical tools for visualization and analysis of sequence data; (3) access to traits, biosynthetic pathways, genetic linkage maps and molecular taxonomy data associated with Alliaceae and Apiaceae plants; and (4) comprehensive plant splice signal repository of 659,369 splice signals collected from 6015 plant species for comparative analysis of plant splicing patterns.

Conclusions

RoBuST, available at http://robust.genome.com, provides an integrated platform for researchers to effortlessly explore and analyze genomic data associated with root and bulb vegetables.

Background

In the present decade, rapid advancements in DNA sequencing and molecular genetics techniques have generated a wealth of plant genomics, genetics, and breeding data. Whole genome sequences of several plants (arabidopsis, rice, wheat, grapes, etc) are now available and the sequencing of a number of additional plants is ongoing (lotus, papaya, cassava, tomato, potato, etc). The rapid proliferation of plant genome annotations generated by these efforts has led to the development of several data analysis platforms focused on specific plant groups - Gramene for grass genomics [1], SOL Genomics Network (SGN) for solanaceae [2], Legume Information System for legume species [3], GrainGenes for Triticeae and Avena [4] and GDR genome database for Rosaceae [5] are some examples. These resources integrate genomic sequence data, genetic maps, and phenotypic data associated with specific plant groups into a single user friendly platform and encourage researchers to get involved in annotation efforts. Such integrated repositories of plant group-specific data with active community contributions can greatly aid researchers in gaining a deeper understanding of plant genetics, plant taxonomy, plant pathology and plant physiology, and are valuable tools for supporting research initiatives focused on addressing challenges confronted in agriculture.

Interestingly, most of the plant data analysis platforms available today are focused on plant groups with high economic value and are associated with data collection from genome sequencing projects. Very few data analysis tools are available for less-studied "minor" and "orphan" crops with no ongoing genome sequencing efforts. Integrated data collection and annotation platforms focused on specific orphan crop families would be invaluable for researchers working on these crops.

Root and bulb vegetables (RBV) represent one such group of orphan crops [6,7]. These include carrots, celeriac (root celery), parsnips (Apiaceae), onions, garlic, and leek (Alliaceae, sometimes referred to as the Allioideae subtribe Amaryllidaceae) - food crops common to virtually all agricultural regions and consumers' plates around the world. Yet the community of plant scientists working on RBV crops is small, perhaps as small as 10 to 25 full-time equivalent scientists in academic and government programs worldwide devoted to each of these crops. Most of this effort comes from breeders, geneticists, taxonomists, plant pathologists, and plant physiologists. A similar level of effort also comes from seed companies worldwide [8,9]. Yet even with a relatively small scientific community, genomic data is becoming increasingly more abundant, primarily from efforts to develop molecular genetic maps, delineate taxonomic relationships and investigate molecular aspects of gene expression in biochemical pathways and disease response. With genomic data coming from such diverse areas of plant science, availability of a database focused on these root and bulb vegetable crop data would be of great interest to this small scientific community.

Plants that form storage roots and bulbs are included in several web sites that have a taxonomical or regional focus. For example, turnip and rutabaga are included in the Eurpoean Brassica Database [10], yacon (Smallanthus sonchifolius), a member of the Asteraceae, and wild yam (Dioscorea villosa), a member of the Dioscoraceae, are included in the Tropical Plant Database [11]. Databases of the latter type rarely include genomic information. Furthermore, databases such as the SOL Genomics Network [2] include tuber-bearing species and genomic data for this plant family but comparable databases that focus on storage root or bulb-forming plants have not been developed. While the Apiaceae and Alliaceae include many species that do not form storage roots or bulbs, many wild and domesticated species in these two plant families do.

The RoBuST database has been developed for initiating a platform to collect and organize genomic information useful for genetics, breeding, taxonomy, plant physiology and other data highly relevant to root and bulb vegetables. The current release of RoBuST provides a comprehensive collection of sequence annotations of genes, RNAs, proteins, splice signals, regulatory elements and ESTs belonging to two root and bulb orphan crop families—Alliaceae and Apiaceae. RoBuST also has a unique data collection of Alliaceae/Apiaceae-specific gene function and trait annotations, molecular taxonomy data, genetic linkage maps, markers and biosynthetic pathways as well as an exhaustive collection of plant splicing data. A variety of sequence analysis and visualization tools are available in the RoBuST web interface for the integrated analysis of these diverse data sets.

Construction and content

Database and web interface development

The RoBuST database was developed in MySQL 4.1.The RoBuST web interface was developed using the CGI.pm, DBI.pm and GD.pm modules of Perl (5.8.8), and runs on an Apache (2.0.53) web server. Graphical display of genes, RNAs, intron-exon structures, splice junctions, and alternative splicing patterns were implemented in RoBuST using Gene Plot, Splice Signal Plot and AS Plot modules from the EuSplice [12] project. Additional graphical modules to display regulatory elements and other sequence elements were developed specifically for RoBuST using GD.pm.

Extraction of sequence annotations

Sequence records of Alliaceae and Apiaceae plant families were downloaded from GenBank [13] by submitting batch queries to its Entrez web interface. Gene, mRNA and other sub-sequence annotations are presented in a pre-determined data structure under the Feature Table section of GenBank records with each sub-sequence elements described as Feature Keys [14]. We carefully analyzed the Feature Table structure and developed Perl programs to parse the Feature key data format and efficiently extract sub-sequence datasets. The Perl programs extracted position co-ordinates, sequences and additional annotations associated with each of following sequence data types: (1) Gene, (2) RNA, (3) CDS (4) EST, (5) Promoter, (6) Regulatory elements (Signal Peptide, Replication Origin, 5'UTR, Enhancer, TATA Signal, CAAT Signal, -10 Signal, -35 Signal, PolyA Signal, PolyA Site, Protein Bind, 3'UTR), (7) Repeat elements (Repeat Region, Repeat Unit, Transposons) and (8) Miscellaneous elements (Misc Feature, Precursor RNA, Prim Transcript, Mature Peptide, Primer Bind, Misc Signal, Stem Loop, Variation, Misc RNA, Transit Peptide). The extracted sequence and annotation data were populated into the back-end MySQL database.

Extraction of plant splicing data

Plant-specific annotation data files ("gbpln*.seq.gz") were downloaded from GenBank and all GenBank gene records which belong to plant species from Kingdom Viridiplantae were extracted. Since we were interested in splice signal information, all single-exon gene records were removed from this data set. This left 348,081 GenBank records covering 6015 Viridiplantae plant species, each of which had multi-exon gene annotations. These were further parsed to extract position coordinates and sequences associated with gene, mRNA, exon and intron structure, and donor and acceptor splice signals.

Implementing Ontologies

We submitted seventeen new carrot and garlic trait terms to Trait Ontology (TO), which is part of the Plant Ontology Consortium [15]. All seventeen were accepted into TO and were assigned TO IDs and parent-child relationships. We implemented a hierarchy-based display of TO term lineage for these traits in the RoBuST Trait Ontology viewer using GraphViz [16].

We successfully mapped Gene Ontology (GO) [17] function annotations to 119 RoBuST genes as follows: InterPro [18] IDs corresponding to RoBuST genes were extracted from the database cross references (db_xrefs) provided under the CDS feature key tag in their corresponding GenBank files. The GO annotation file "interpro2go" was downloaded from InterPro and InterPro IDs associated with each of the 119 genes were mapped to the gene ontology information available in this file.

Utility and Discussion

Sequence Annotations

RoBuST provides a comprehensive platform for integrated visual analysis of various types of sequence annotations from 294 Alliaceae and 816 Apiaceae plant species. This includes genes, mRNAs, tRNAs, rRNAs, ESTs, splice signals, promoters, regulatory elements, signal peptides, transposons, molecular taxonomy sequences and several additional types of sequence elements (Table (Table1).1). Users can access sequence annotations of interest using keyword or ID-based search options available in the web interface.

Table 1
Distribution of sequence data types in RoBuST

Gene and RNA sequence annotations can be visualized as graphical plots in RoBuST's results page. The graphical plots allow users to zoom in and efficiently analyze exons, introns, splice signal sequences, splice junctions as well as translated and untranslated regions using color-coded display and pop-up options, and integrate all related information in one place without browsing away from the main result page. Users can also view the alternative transcription initiation (ATI), alternative splicing (AS), and alternative transcription termination (ATT) events in genes with multiple transcript isoforms. The graphical plots also display regulatory elements such as promoters, polyA, mature peptides, signal peptides, and all other sequence element types found within the gene or RNA sequence (Figure (Figure1A1A).

Figure 1
Screenshots of the RoBuST web interface. A, graphical gene detail plot in RobuST. Moving the mouse over introns or exons activates a text box with information on that component, and links are provided to detailed splice plots, alternative splice plots, ...

The results page also has several informational tabs which provide additional data on the gene or RNA of interest. The "Summary" tab provides general information on the sequence record such as gene/RNA name and description, organism name, GenBank Accession/ID and links to the original GenBank record. The "Sequences" tab, provides options to download sequences of gene, RNA, coding sequence (CDS), protein and other sequence annotations (promoters, ESTs, regulatory elements, repeat elements etc). If a gene has an exon-intron structure, then the splice signal sequences of each of its splice junctions can be viewed by clicking on the "Splice Sites" tab. Database cross-references to five independent external databases (UniProtKB [19], InterPro, GOA [20], HSSP [21], and PDB [22] related to the gene/RNA of interest can be accessed through the "Other Info" tab.

Sequence Analysis Tools

RoBuST supports the diverse sequence analysis requirements of Alliaceae/Apiaceae research community by integrating the following sequence analysis tools to its user-friendly web interface. (1) Customized access to plant family-specific and species-specific BLAST [23] searches; (2) Primer Design Tools: Primer3Plus [24] and ExonPrimer3—a customized version of Primer3 which we developed so that users can design specific primers for exons from any Alliaceae or Apiaceae gene; (3) Emboss [25] pair-wise sequence alignment tools: Water for local alignment and Needle for global alignment; (4) Emboss open reading frame detection tool: Getorf; (5) VecScreen [26] for detecting vector contamination; (6) Splign [27] and Spidey [28] for exon-intron structure detection and splicing analysis.

Plant Splice Repository (PSR)

A comprehensive collection of annotated plant splice signals can be a valuable tool for analyzing splicing mechanisms in plants. For this purpose, we have created the Plant Splice Repository (PSR)—unique collection of plant-specific splicing data associated with 6015 plants species belonging to 443 plant families extracted from GenBank plant sequence records. PSR currently contains 659,369 donor and acceptor splice signal pairs (Figure (Figure2)2) and is a valuable resource for comparison and analysis of splicing patterns in plants.

Figure 2
A summary of the phylogenetic distribution of splice signal data content in the RoBuST Plant Splice Repository (PSR).

PSR can be mined to retrieve splicing annotations associated with an entire plant family, a specific plant species or even a specific gene of interest (Figure (Figure1B).1B). For any given gene, users can view its exon-intron structure, analyze donor and acceptor splice signals, exon and intron sequences flanking splice junctions as well as access the distribution of putative splice signals surrounding annotated splice junctions. Users can also download these gene-specific PSR datasets for further analysis.

PSR also has two unique splicing analysis tools which support in-depth mining of the extensive splicing data content. SpliceBlast-PL (Figure (Figure1C)1C) identifies potential plant-specific exon-intron structures within a query sequence of interest by aligning the query sequence against the entire plant splice signal collection in PSR and SpliceMatch-PL (Figure (Figure1D)1D) can be used to identify the prevalence of a splice signal sequence of interest within various plant genomes. It accepts user-submitted splice signal sequences as a query and retrieves hits in different plant species which have this same splice signal. Each of these hits can be analyzed in detail using graphical splice signal plots.

Genetic Linkage Maps

Linkage maps play an important role in plant genetics and genomics and are highly valuable resources for the genome analysis of plant species which do not have whole genome sequencing data and hence do not have any physical maps available. Genetic linkage maps can be updated when maps from several studies are consolidated. While several genetic linkage maps are available for different Alliaceae and Apiaceae species, they are spread across various publications or are maintained as an internal collection by research groups for their own specific analysis and hence are not available in one place where external users can access and analyze them. Our effort in RoBuST is to create a centralized repository for all Alliaceae and Apiaceae genetic linkage maps, each of which are linked to information on its specific mapped markers. As part of that effort, we have currently added 12 linkage maps: 8 for carrot, 3 for garlic and 1 for onion into RoBuST (Table (Table2).2). These maps can be accessed and viewed through the cMap viewer [29] deployed on the RoBuST server. Users can browse through genetic maps, view marker data, and search for specific markers of interest. Graphical comparison between different genetic maps can also be performed and this functionality can be used to generate a single comparative view of multiple maps of interest, to analyze common markers and to conduct comparative analysis of the loci of interest (Figure (Figure1E).1E). We encourage and invite members of the Alliaceae and Apiaceae research community to submit additional linkage maps and annotations and be active participants in developing a complete collection of linkage map data for these two plant families.

Table 2
Complete and partial genetic linkage maps in RoBuST

Biosynthetic Pathways

RoBuST provides detailed graphical displays of the carotenoid and anthocyanin biosynthetic pathways of Daucus carota and S-alk(en)yl cysteine sulfoxide and allium flavor chemistry pathways of Allium sativum (Figure (Figure1F).1F). Information on pathway steps, substrates, enzymes catalyzing the reaction, links to the RoBuST records of pathway genes, genetic linkage map details for these genes, and 2D molecular structure of the pathway elements is available in the pathway display page. We plan to incorporate additional pathways from Alliaceae/Apiaceae species and welcome submissions from the research community to enhance the current collection.

Plant Taxonomy and Systematics

DNA sequences have become a standard tool used by plant taxonomists [30]. Internal Transcribed Spacer (ITS) is often the first sequence used to evaluate and classify plants by species, but a widening array of genic regions is also being used. It is becoming recognized that a single sequence does not discriminate accurately among species of a genus, so sequence information from several different regions are now becoming widely accepted as markers for taxonomic classification in plants. Since there is a growing need for the Alliaceae and Apiaceae research community to have direct access to family-specific molecular taxonomy sequences, we have parsed and extracted phylogenetic markers (e.g., ITS1 & ITS2, Non Transcribed Spacer (NTS), External Transcribed Spacer (ETS)) and "barcoding" genes (e.g., matK) associated with Apiaceae and Alliaceae families from GenBank sequence data. Table Table33 gives the distribution of some common molecular taxonomy sequences in RoBuST. This collection of 9837 molecular taxonomy sequences is a valuable reference resource for intergeneric/intra-generic and interspecies/intra-species level taxonomy analysis and classification efforts.

Table 3
Common molecular taxonomy sequence annotations in RoBuST

Trait Ontology and Gene Ontology Browsers

We have implemented an ontology browser for exploring functional annotations and trait features of Alliaceae and Apiaceae plants. Gene Ontology (GO) functional annotations for 43 Alliaceae and 76 Apiaceae genes can be accessed and analyzed in the GO annotation browser in RoBuST (Figure (Figure1G1G).

For traits, we used the well-established Trait Ontology (TO) collection for defining carrot and garlic trait terms. Each carrot trait which matched existing TO trait terms was mapped to their specific TO ID and TO annotation. Since several carrot and garlic trait definitions were not available in TO, we submitted these new trait definitions to Trait Ontology. This resulted in the addition of 17 new trait terms to the TO collection (Table (Table44).

Table 4
Trait ontology terms accepted by TO consortium

Trait and functional annotations can be queried through the ontology browser using general keyword searches or by specific searches using ontology terms or accession IDs. Users can view complete information for each ontology term as well as parent and child terms and their relationships (Figure (Figure1G1G).

Future Directions

We plan to expand the current data coverage in RoBuST in the future, and develop it into a one-stop resource for the root and bulb research community by providing comprehensive coverage of genomic data for all available root and bulb plant species. Since comparative analysis of genomic data from tuber forming plants and root and bulb plants could prove useful for understanding common mechanisms of bulb and tuber formation, we plan to link genomic information on tuber-bearing species from SGN to RoBuST. We will also incorporate interactive tools that can be used by root and bulb researchers to annotate sequences, phenotypes and traits, and to submit linkage maps, markers, molecular phylogeny data, pathways and other relevant data types which are of interest to the user community. Additionally, several comparative genomics tools will be made available in the next release of RoBuST and these tools will allow user-friendly cross-species comparative analysis of sequence annotations not only within the root and bulb plant group, but also against well annotated genomes such as rice, wheat, arabidopsis, barley, grape, potato and tomato. Since inter-database comparative analysis would be very useful in plant genome analysis and knowledge discovery, we will implement link integration of RoBuST data to Gramene and Ensembl. We will also provide gateways to ExDom [31] a database resource that will enable the comparative functional analysis of proteins and domains from these genomes. Furthermore, we will enable the capability for analyzing mutations in genes, RNAs and regulatory sequences in RoBuST using the EuSplice resource [12] and comparative analysis of alternative splicing events using the AspAlt resource [32].

Since the current sequence data in RoBuST is from a single data source—GenBank, we did not have data heterogeneity issues in this version release. However, we will be faced with data heterogeneity when we expand the RoBuST content to include data from different databases like SGN, Gramene and Ensembl in the next version release of RoBuST. To address this, we will adapt DAS protocols [33] in RoBuST and set up a DAS server which will make the import and export of data easy. This will ensure that RoBuST's future development and updates are not complicated by diverse data formats and data heterogeneity from different data sources.

Conclusion

The plant research community in agriculture often has a commodity-specific focus. Consequently, the availability of detailed information from diverse scientific disciplines has long been of interest to crop scientists. As genomic data is the common language of all biological disciplines, a focused collection of genomic data for an individual plant species or family provides a valuable tool for researchers specializing in particular crops. This fact led to the development of GrainGenes, SolGenes, etc. To this end, RoBuST has been developed for plant scientists working on root and bulb vegetable crops. The array of genomic information on these relatively poorly studied plants is not extensive but even today over 47,000 GenBank sequence records have been generated for Apiaceae and Alliaceae alone. With the recent advancements in next generation sequencing technology, an increase in genomic data for root and bulb orphan crops in public databases is imminent. Furthermore, there is little doubt that the whole genome of one or more species in Apiaceae will be sequenced in the next few years, especially since many species in this family have genomes in the size range of rice and tomato. The extraordinarily large size of Alliaceae genomes will impede their whole genome sequencing projects, but that fact notwithstanding, much more sequence information of Alliaceae will certainly be generated. With the certainty that next-generation sequencing will become a common research tool, the management of these large sequence datasets is receiving much attention by genomicists. Discussion of next-generation plant genetics is already underway [34] and similar strategies are being planned for use in plant taxonomy and physiology. We anticipate that specialized databases like RoBuST will become even more valuable for crop specialists as the database grows. While RoBuST assembles tools useful for genomics of root and bulb vegetables, it also provides tools to tie genomic data to genetic linkage data, plant traits and biochemical pathways of interest to geneticists, taxonomists, and physiologists, and it creates links to other related databases. This collection of features provides a network for communication from the DNA sequence level to the trait and crop level with relative ease. The tools assembled in RoBuST are intended to be of wide immediate interest to researchers working on root and bulb crops, and to also serve as a model of assembling diverse comparable data useful for any crop.

Availability and requirements

RoBuST is freely available to all non-commercial users at http://robust.genome.com.

Authors' contributions

AB designed the database and web interface, integrated the data and wrote the manuscript. DS and PSW provided annotated data, defined key functionalities of the resource and helped write the manuscript. BK, VM and PP worked on development and implementation of the database and web interface. PS and PWS conceived the project, AB coordinated it. PS participated in project design and critically revised the manuscript. All authors read and approved the final manuscript.

Acknowledgements

We thank Vipin T. Sreedharan and Bipin Balan for providing technical support and Anup Viswanathan for designing the RobuST logo for the web interface.

References

  • Gramene. http://www.gramene.org/
  • Sol Genomics network. http://solgenomics.net
  • Legume Information System. http://www.comparative-legumes.org
  • GrainGenes: A Database for Triticeae and Avena. http://wheat.pw.usda.gov/GG2
  • GDR Genome database for Rosaceae. http://www.rosaceae.org
  • Havey MJ. Application of Genomic Technologies to Crop Plants: Opportunities and Challenges. Crop Sci. 2004;44:1893–1895. doi: 10.2135/cropsci2004.1893a. [Cross Ref]
  • Nelson R, Naylor RL, Jahn MM. The role of genomics research in improvement of "orphan" crops. Crop Sci. 2004;44:1901–1904. doi: 10.2135/cropsci2004.1901. [Cross Ref]
  • Brooks HJ, Vest G. Public programs on genetics and breeding of horticultural crops in the United States. HortScience. 1985;20:826–830.
  • Frey KJ. National Plant Breeding Study-I. Special Report 98. Iowa State University, Ames; 1996.
  • European Brassica Database. http://documents.plant.wur.nl/cgn/pgr/brasedb/
  • Tropical Plant Database. http://www.rain-tree.com/yacon.htm
  • Bhasi A, Pandey RV, Utharasamy SP, Senapathy P. EuSplice: a unified resource for the analysis of splice signals and alternative splicing in eukaryotic genes. Bioinformatics. 2007;23:1815–1823. doi: 10.1093/bioinformatics/btm084. [PubMed] [Cross Ref]
  • Benson DA, Karsch-Mizrachi I, Lipman DJ, Ostell J, Sayers EW. GenBank. Nucleic Acids Res. 2009;37:D26–D31. doi: 10.1093/nar/gkn723. [PMC free article] [PubMed] [Cross Ref]
  • The DDBJ/EMBL/GenBank Feature Table Definition. http://www.ncbi.nlm.nih.gov/collab/FT/
  • Bruskiewich R, Coe EH, Jaiswal P, McCouch S, Polacco M, Stein L, Vincent L, Ware D. The Plant Ontology Consortium and plant ontologies. Comp Funct Genomics. 2002;3:137–142. doi: 10.1002/cfg.154. [PMC free article] [PubMed] [Cross Ref]
  • GraphViz. http://search.cpan.org/dist/GraphViz
  • Ashburner M, Ball CA, Blake JA, Botstein D, Butler H, Cherry JM, Davis AP, Dolinski K, Dwight SS, Eppig JT, Harris MA, Hill DP, Issel-Tarver L, Kasarskis A, Lewis S, Matese JC, Richardson JE, Ringwald M, Rubin GM, Sherlock G. Gene ontology: tool for the unification of biology. The Gene Ontology Consortium. Nat Genet. 2000;25:25–29. doi: 10.1038/75556. [PMC free article] [PubMed] [Cross Ref]
  • Hunter S, Apweiler R, Attwood TK, Bairoch A, Bateman A, Binns D, Bork P, Das U, Daugherty L, Duquenne L, Finn RD, Gough Julian, Haft D, Hulo N, Kahn D, Kelly E, Laugraud A, Letunic I, Lonsdale D, Lopez R, Madera M, Maslen J, McAnulla C, McDowall J, Mistry J, Mitchell A, Mulder N, Natale D, Orengo C, Quinn AF. et al. InterPro: the integrative protein signature database. Nucleic Acids Res. 2009;37:D211–D215. doi: 10.1093/nar/gkn785. [PMC free article] [PubMed] [Cross Ref]
  • Schneider M, Lane L, Boutet E, Lieberherr D, Tognolli M, Bougueleret L, Bairoch A. The UniProtKB/Swiss-Prot knowledgebase and its Plant Proteome Annotation Program. J Proteomics. 2009;72:567–573. doi: 10.1016/j.jprot.2008.11.010. [PMC free article] [PubMed] [Cross Ref]
  • Barrell D, Dimmer E, Huntley RP, Binns D, O'Donovan C, Apweiler R. The GOA database in 2009—an integrated Gene Ontology Annotation resource. Nucleic Acids Res. 2009;37:D396–D403. doi: 10.1093/nar/gkn803. [PMC free article] [PubMed] [Cross Ref]
  • Dodge C, Schneider R, Sander C. The HSSP database of protein structure-sequence alignments and family profiles. Nucleic Acids Res. 1998;26:313–315. doi: 10.1093/nar/26.1.313. [PMC free article] [PubMed] [Cross Ref]
  • Sussman JL, Lin D, Jiang J, Manning NO, Prilusky J, Ritter O, Abola EE. Protein Data Bank (PDB): database of three-dimensional structural information of biological macromolecules. Acta Crystallogr D Biol Crystallogr. 1998;54:1078–1084. doi: 10.1107/S0907444998009378. [PubMed] [Cross Ref]
  • Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ. Basic local alignment search tool. J Mol Biol. 1990;215:403–410. [PubMed]
  • Untergasser A, Nijveen H, Rao X, Bisseling T, Geurts R, Leunissen JA. Primer3Plus, an enhanced web interface to Primer3. Nucleic Acids Res. 2007;35:W71–4. doi: 10.1093/nar/gkm306. [PMC free article] [PubMed] [Cross Ref]
  • Rice P, Longden I, Bleasby A. EMBOSS: the European Molecular Biology Open Software Suite. Trends Genet. 2000;16:276–277. doi: 10.1016/S0168-9525(00)02024-2. [PubMed] [Cross Ref]
  • VecScreen. http://www.ncbi.nlm.nih.gov/VecScreen/VecScreen.html
  • Kapustin Y, Souvorov A, Tatusova T, Lipman D. Splign: algorithm for computing spliced alignments with identification of paralogs. Biol Direct. 2008;3:20. doi: 10.1186/1745-6150-3-20. [PMC free article] [PubMed] [Cross Ref]
  • Spidey. http://www.ncbi.nlm.nih.gov/IEB/Research/Ostell/Spidey/
  • Youens-Clark K, Faga B, Yap IV, Stein L, Ware D. CMap 1.01: a comparative mapping application for the Internet. Bioinformatics. 2009;25:3040–3042. doi: 10.1093/bioinformatics/btp458. [PMC free article] [PubMed] [Cross Ref]
  • Álvarez I, Wendel JF. Ribosomal ITS sequences and plant phylogenetic inference. Mol Phylogenet and Evol. 2003;29:417–434. doi: 10.1016/S1055-7903(03)00208-2. [PubMed] [Cross Ref]
  • Bhasi A, Philip P, Manikandan V, Senapathy P. ExDom: an integrated database for comparative analysis of the exon-intron structures of protein domains in eukaryotes. Nucleic Acids Res. 2009;37:D703–D711. doi: 10.1093/nar/gkn746. [PMC free article] [PubMed] [Cross Ref]
  • Bhasi A, Philip P, Sreedharan VT, Senapathy P. AspAlt: A tool for inter-database, inter-genomic and user-specific comparative analysis of alternative transcription and alternative splicing in 46 eukaryotes. Genomics. 2009;94:48–54. doi: 10.1016/j.ygeno.2009.02.006. [PubMed] [Cross Ref]
  • Dowell RD, Jokerst RM, Day A, Eddy SR, Stein L. The Distributed Annotation System. BMC Bioinformatics. 2001;2:7. doi: 10.1186/1471-2105-2-7. [PMC free article] [PubMed] [Cross Ref]
  • Nordborg M, Weigel D. Next-generation genetics in plants. Nature. 2008;456:720–723. doi: 10.1038/nature07629. [PubMed] [Cross Ref]

Articles from BMC Plant Biology are provided here courtesy of BioMed Central
PubReader format: click here to try

Formats:

Related citations in PubMed

See reviews...See all...

Cited by other articles in PMC

See all...

Links

Recent Activity

Your browsing activity is empty.

Activity recording is turned off.

Turn recording back on

See more...